Meiling Dai
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Virology and Viral Diseases
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- Influenza Virus Research Studies 9
- Virology and Viral Diseases 1
-
- Animal Virus Infections Studies 2
- Co-authors
- Cornelis A. M. de Haan (7 shared papers)Erik de Vries (6 shared papers)Frank J. M. van Kuppeveld (6 shared papers)Hongbo Guo (3 shared papers)Ryan McBride (2 shared papers)Raoul J. de Groot (2 shared papers)James C. Paulson (2 shared papers)Peter J. M. Rottier (1 shared paper)
- Journals
- Journal of Virology (4 papers)Acta Biomaterialia (1 paper)PLoS Pathogens (1 paper)Emerging infectious diseases (1 paper)Journal of General Virology (1 paper)
- Partner nations
- NetherlandsUnited StatesAustralia
In The Last Decade
Meiling Dai
13 papers receiving 478 citations
Peers
Comparison fields: 5 of 48
- Epidemiology 340
- Animal Science and Zoology 43
- Immunology 25
- Inorganic Chemistry 17
- Infectious Diseases 17
Countries citing papers authored by Meiling Dai
This map shows the geographic impact of Meiling Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meiling Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Dai more than expected).
Fields of papers citing papers by Meiling Dai
This network shows the impact of papers produced by Meiling Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meiling Dai. The network helps show where Meiling Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 118 | |
| 2 | 2015 | 78 | |
| 3 | 2018 | 44 | |
| 4 | 2017 | 41 | |
| 5 | 2022 | 41 | |
| 6 | 2013 | 36 | |
| 7 | 2017 | 33 | |
| 8 | 2013 | 32 | |
| 9 | 2016 | 32 | |
| 10 | 2021 | 17 | |
| 11 | 2022 | 14 | |
| 12 | Antibodies directed towards neuraminidase N1 control disease in a mouse model of influenza | 2018 | 3 |
| 13 | 2021 | 1 |
About Meiling Dai
Meiling Dai is a scholar working on Epidemiology, Animal Science and Zoology, Virology, Oncology and Inorganic Chemistry, having authored 13 papers that have together received 490 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Animal Virus Infections Studies (2 papers), Cancer-related Molecular Pathways (2 papers), Cell death mechanisms and regulation (1 paper), Viral Infections and Outbreaks Research (1 paper), Metal-Organic Frameworks: Synthesis and Applications (1 paper), Virology and Viral Diseases (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Epidemiology (340 citations), Animal Science and Zoology (43 citations), Immunology (25 citations), Inorganic Chemistry (17 citations) and Infectious Diseases (17 citations). Meiling Dai has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Cornelis A. M. de Haan, Erik de Vries, Frank J. M. van Kuppeveld, Hongbo Guo, Ryan McBride, Raoul J. de Groot, James C. Paulson, Peter J. M. Rottier, Huib H. Rabouw and Anne Slomp. Their work appears in journals such as Journal of Virology, Acta Biomaterialia, PLoS Pathogens, Emerging infectious diseases and Journal of General Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.